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for large language models. Develop data processing toolchains for data collection, cleaning, annotation, desensitization, and storage, as well as design and develop LLM-oriented fine-tuning workflows
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/Qualifications Technical Skills: Processing and analysis of large volumes of data from numerical simulations. Parallel programming standards in distributed memory (MPI) and shared memory (OpenMP). HPC
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Environment / Life Sciences. Research line: Remote sensing and ecology. The successful candidate will carry out research activities including field data collection, processing of large volumes of data, image
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: learning theory, approximation theory, high-dimensional probability, information theory, mathematical analysis of neural networks, representation learning, robustness, and interpretability. · Probabilistic
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changes in sequence alter molecular biology. Whom would we like to hire? Professional experience Must Have • You have extensive experience in molecular biology including large-scale data generation and
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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25 Sep 2026 Job Information Organisation/Company Bellvitge Biomedical Research Institute Department Neurosciences Program Research Field Biological sciences » Biology Researcher Profile First Stage
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, Machine Learning, or related areas. - Knowledge of Large Language Models and Retrieval-Augmented Generation. - Experience or interest in Knowledge Graphs, Semantic Web technologies, information retrieval
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25 Sep 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Engineering » Communication engineering
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optimisation of analytical methods for VOC characterization. Chemical analysis of air and rainwater samples using advanced instrumentation. Data processing, statistical analysis and interpretation of large